Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jonghwan, Choi"'
Publikováno v:
Journal of Asia-Pacific Biodiversity, Vol 16, Iss 3, Pp 450-453 (2023)
The species of the genus Cordilura Fallén are not well studied in Korea with only one known species. In this study, Cordilura shatalkini and Cordilura nubecula are reported for the first time in Korea with a new key to the species of Cordilura from
Externí odkaz:
https://doaj.org/article/355c76e94cdb44388f66a157b87e85d2
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-13 (2023)
Abstract Background Structure-constrained molecular generation is a promising approach to drug discovery. The goal of structure-constrained molecular generation is to produce a novel molecule that is similar to a given source molecule (e.g. hit molec
Externí odkaz:
https://doaj.org/article/a703f3d57ffa4430983e383e618cd42f
Publikováno v:
IEEE Access, Vol 10, Pp 54245-54253 (2022)
The identification of patient-specific cancer driver genes plays a crucial role in the development of personalized cancer treatment and drug development. Several computational methods have been proposed for identifying patient-specific cancer driver
Externí odkaz:
https://doaj.org/article/3f7cfa0651fd4291beb5fef562be2587
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background Accurate prediction of protein–ligand binding affinity is important for lowering the overall cost of drug discovery in structure-based drug design. For accurate predictions, many classical scoring functions and machine learning-
Externí odkaz:
https://doaj.org/article/f44ada125ed946ff99bc493a2989110c
Publikováno v:
IEEE Access, Vol 9, Pp 20076-20088 (2021)
Precise prognosis of cancer patients is important because it is associated with suggesting appropriate therapeutic strategies. Several computational and statistical methods have been proposed, but further improvement of these methods in terms of pred
Externí odkaz:
https://doaj.org/article/4c578031689942a981df1c9b902f3b37
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Machine learning may be a powerful approach to more accurate identification of genes that may serve as prognosticators of cancer outcomes using various types of omics data. However, to date, machine learning approaches have shown limited pre
Externí odkaz:
https://doaj.org/article/2ccc46503e47424fa94cca6e873e2639
Autor:
Donggun Lee, Chong-Keun Kim, Jinho Yang, Kang-Yeon Cho, Jonghwan Choi, Sang-Do Noh, Seunghoon Nam
Publikováno v:
Machines, Vol 10, Iss 12, p 1147 (2022)
With the increasing dynamic nature of customer demand, production, product, and manufacturing design changes have become more frequent. Moreover, inadequate validation during the manufacturing design phase may result in additional issues, such as pro
Externí odkaz:
https://doaj.org/article/6bce3c6c572046b5b8e82f6143173486
Publikováno v:
Korean Journal of Journalism & Communication Studies. 67:125-184
Publikováno v:
Journal of Cybercommunication Academic Society. 39:329-381
Publikováno v:
Information Sciences. 590:158-178